Abstract: the ability of detect and predict poor quality of software is of major important to software engineering and reengineering, manger, quality assurance organization. Poor quality software leads to increase development cost and expensive maintenance. With so much attention on exacerbated budgetary constraints, a viable alternative is necessary. Software quality metrics designed for this purpose. Metric measure certain aspect of code or PDL representations, and can collected and use through life cycle. Automated software quality measures are important for easy integration into the software development process. This paper discuss on two metrics: static analysis tools and function point analysis tools, take examples for each type and discus the different between them.
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